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2020 – today
- 2024
[j6]Kaicheng Yu, Qiang Gao
, Zexue Lin, Fei Wang, Peng Zhang, YongDan Liu, Lihua Lu:
Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel. Comput. Biol. Medicine 168: 107722 (2024)- [i29]Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang:
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR abs/2402.17483 (2024) - [i28]Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu:
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation. CoRR abs/2406.01349 (2024) - [i27]Wei Song, Yadong Li, Jianhua Xu, Guowei Wu, Lingfeng Ming, Kexin Yi, Weihua Luo, Houyi Li, Yi Du, Fangda Guo, Kaicheng Yu:
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark. CoRR abs/2406.05343 (2024) - [i26]Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu:
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR abs/2407.00466 (2024) - 2023
- [j5]Kaicheng Yu, Qiang Gao, Jingfeng Xu, Liang Liu, Lizi Qi, Yuheng Guan, Yifeng Yao, Fangzheng Chen, Peng Zhang, YongDan Liu, Lihua Lu:
Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property. Comput. Biol. Medicine 166: 107536 (2023) - [c15]Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang:
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CVPR Workshops 2023: 3188-3198 - [c14]Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou:
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask. CVPR 2023: 8518-8528 - [c13]Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen:
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CVPR 2023: 21611-21620 - [c12]Qingheng Zhang, Haibo Ye, Kaicheng Yu:
Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition. ICASSP 2023: 1-5 - [i25]Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou:
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask. CoRR abs/2302.07224 (2023) - [i24]Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen:
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CoRR abs/2303.08498 (2023) - [i23]Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu:
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR abs/2304.10406 (2023) - [i22]Shangzhan Zhang, Sida Peng, Yinji ShenTu, Qing Shuai, Tianrun Chen, Kaicheng Yu, Hujun Bao, Xiaowei Zhou:
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields. CoRR abs/2307.12909 (2023) - [i21]Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu:
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving. CoRR abs/2308.01006 (2023) - [i20]Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu:
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. CoRR abs/2308.01661 (2023) - [i19]Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao:
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training. CoRR abs/2308.09718 (2023) - [i18]Chunyong Hu, Hang Zheng, Kun Li, Jianyun Xu, Weibo Mao, Maochun Luo, Lingxuan Wang, Mingxia Chen, Qihao Peng, Kaixuan Liu, Yiru Zhao, Peihan Hao, Minzhe Liu, Kaicheng Yu:
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection. CoRR abs/2309.05257 (2023) - [i17]Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu:
BEVHeight++: Toward Robust Visual Centric 3D Object Detection. CoRR abs/2309.16179 (2023) - [i16]Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu:
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. CoRR abs/2312.08876 (2023) - 2022
- [j4]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8110-8124 (2022) - [c11]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CVPR 2022: 10905-10914 - [c10]Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter:
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. ICLR 2022 - [c9]Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang:
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. NeurIPS 2022 - [i15]Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter:
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. CoRR abs/2201.13396 (2022) - [i14]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i13]Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang:
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. CoRR abs/2205.13790 (2022) - [i12]Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang:
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CoRR abs/2205.14951 (2022) - [i11]Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang:
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR abs/2210.08458 (2022) - [i10]Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Cheng, Shibo He, Jiming Chen, Kaicheng Yu:
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling. CoRR abs/2211.10105 (2022) - 2021
- [b1]Kaicheng Yu:
From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search. EPFL, Switzerland, 2021 - [c8]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR 2021: 13723-13732 - [c7]Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze:
Pyramid Architecture Search for Real-Time Image Deblurring. ICCV 2021: 4278-4287 - [i9]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR abs/2104.05309 (2021) - [i8]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR abs/2110.01154 (2021) - 2020
- [j3]Kun Hao, Qixin Xue, Cheng Li, Kaicheng Yu:
A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node. IEEE Access 8: 181662-181673 (2020) - [j2]Kun Hao, Kaicheng Yu, Zijun Gong, Xiujuan Du, Yonglei Liu, Lu Zhao:
An Enhanced AUV- Aided TDoA Localization Algorithm for Underwater Acoustic Sensor Networks. Mob. Networks Appl. 25(5): 1673-1682 (2020) - [j1]Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li, Chuanqi Wang:
Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm. Sensors 20(20): 5873 (2020) - [c6]Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings:
Generalized Class Incremental Learning. CVPR Workshops 2020: 970-974 - [c5]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c4]Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating The Search Phase of Neural Architecture Search. ICLR 2020 - [i7]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR abs/2003.04276 (2020)
2010 – 2019
- 2019
- [c3]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. ICCV 2019: 2142-2151 - [c2]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-model Forgetting. ICML 2019: 594-603 - [i6]Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating the Search Phase of Neural Architecture Search. CoRR abs/1902.08142 (2019) - [i5]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-Model Forgetting. CoRR abs/1902.08232 (2019) - [i4]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. CoRR abs/1906.04913 (2019) - 2018
- [c1]Kaicheng Yu, Mathieu Salzmann:
Statistically-Motivated Second-Order Pooling. ECCV (7) 2018: 621-637 - [i3]Kaicheng Yu, Mathieu Salzmann:
Statistically Motivated Second Order Pooling. CoRR abs/1801.07492 (2018) - [i2]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. CoRR abs/1811.10914 (2018) - 2017
- [i1]Kaicheng Yu, Mathieu Salzmann:
Second-order Convolutional Neural Networks. CoRR abs/1703.06817 (2017)
Coauthor Index
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